Abstract: Because the high permeability renewable energy output exceeds the capacity of distribution network, which leads to the rise of voltage or even overvoltage caused by the tidal current countercurrent, the issue of improving the local consumption of renewable energy sources is getting more and more attention. The local consumption rate is related to the matching degree of the power output characteristics and the load characteristics. The energy storage system has the bi-directional flow characteristics of energy, which provides more flexibility for the distribution network to absorb renewable energy locally. However, the cost of energy storage systems is high at present, and the economic efficiency of blindly increasing energy storage capacity to improve renewable energy local consumption is poor. Therefore, reducing the cost of energy storage construction is the key to optimizing the planning and configuration of energy storage capacity. In this paper, the energy balance of charge and discharge in a typical day is taken as constraint. A solution model of energy storage dynamic planning and configuration based on minimum bi-objective with capacity and charging power and discharging power is established. Through an improved ant colony algorithm based on stratified sequencing method, the multi-objective optimal planning and configuration is realized to find the optimal solution of energy storage power in the local optimal solution of the optimal target constraint of energy storage capacity. The feasibility and effectiveness of the improved ant colony optimization algorithm for the planning and configuration of multi-target energy storage capacity are verified by an example.